GenAI / Cloud / Terraform Engineer
Location: Hyderabad (Onsite – 5 Days/Week)
Employment Type: C2C
Priority: P1
Experience: 6+ Years
Job Summary
We are seeking an experienced GenAI / Cloud / Terraform Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native technologies. The ideal candidate will have strong expertise in Generative AI, cloud platforms (Azure preferred), Infrastructure as Code (Terraform), and agent orchestration frameworks to build scalable, secure, and reusable AI capabilities.
Experience Required
Total IT Experience: 6+ Years
Generative AI: 3+ Years
Cloud Platforms (Azure/AWS/GCP): 5+ Years
Terraform: 2+ Years
Key Responsibilities
Design, develop, and deploy enterprise AI/ML solutions using approved AI technologies and cloud platforms.
Build reusable AI capabilities, including copilots, AI agents, APIs, plugins, and domain-specific automation components.
Develop and operationalize AI-powered applications such as coding assistants, recommendation engines, enterprise search assistants, and workflow automation solutions.
Design and implement Retrieval-Augmented Generation (RAG) solutions for text-to-code, diagram-to-code, knowledge retrieval, recommendation systems, and enterprise automation.
Develop AI-powered search solutions, chatbots, and REST APIs to improve business productivity and user experience.
Design and implement AI agent-based systems featuring:
Tool invocation and function calling
Multi-step reasoning workflows
Autonomous task execution
Develop scalable AI solutions using OpenAI, LLMs, vector databases, embeddings, and indexing techniques.
Build and deploy AI workloads on cloud platforms, preferably Azure (AWS experience is also acceptable).
Develop and maintain MCP Servers for seamless integration with AI agents (e.g., Copilot Agent Mode).
Create reusable Terraform modules and Infrastructure as Code (IaC) frameworks for AI infrastructure.
Ensure secure coding standards, monitoring, logging, and operational excellence across AI applications.
Required Skills
Generative AI
Strong expertise in:
Large Language Models (LLMs)
OpenAI
Generative AI
Retrieval-Augmented Generation (RAG)
AI Agents
Experience building enterprise AI skills such as copilots, agents, APIs, reusable services, and plugins.
Hands-on experience with vector databases and semantic search implementations.
Experience with AI evaluation frameworks such as:
RAGAS
DeepEval
Experience implementing model fine-tuning techniques including:
LoRA
QLoRA
AI Agent Frameworks
Experience with one or more of:
LangGraph
AutoGen
CrewAI
Programming
Strong proficiency in at least one of:
Python
.NET
Node.js
Cloud & Infrastructure
Azure (Preferred)
AWS (Acceptable)
Terraform (Infrastructure as Code)
AI Integration
MCP Server development
Function Calling
Tool Invocation
Agent Orchestration
API Development
Preferred Qualifications
Experience building enterprise AI platforms or reusable AI frameworks.
Experience creating AI skill catalogs or internal developer platforms.
Experience developing reusable Terraform frameworks.
Experience standardizing Infrastructure as Code across enterprise teams.
Strong understanding of secure coding practices.
Experience with monitoring and observability tools such as Splunk.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Nice to Have
Azure OpenAI Services
Azure AI Foundry
Azure AI Search
Kubernetes (AKS/EKS)
Docker
CI/CD Pipelines
GitHub Actions or Azure DevOps
Prompt Engineering
Model Evaluation & Guardrails
Work Location: In person
